Publications by authors named "Dahe Geng"
Article Synopsis
- The study presents a method using ensemble learning to effectively demodulate low SNR signals from Fabry-Perot sensors.
- It utilizes multilevel discrete wavelet transform coefficients as input features and combines multiple SVM and KNN models for improved accuracy.
- The proposed model achieved a remarkable accuracy with a 0.46% F.S. relative mean error, offering potential for scaling up fiber-based Fabry-Perot sensor networks.
